Dr. Farid Touati from Qatar University, Qatar did an outstanding research on the early seismic warning system. The emergence of early seismic warning system aided by structure health monitoring (SHM) node, serves as a lifesaver for safe potential constructions. The SHM node, with the assistance of tiltmeters and laser diodes controlled by computational programs, help in identifying early seismic waves.
There was various groundbreaking research on seismic waves using tiltmeters but they all failed to address, early warning approach and algorithmic evaluations. This new discovery of early seismic warning system that fulfilled the above said two unaddressed issues, made Farid Touati and Dr. Mohamed Al-Hitmi, along with the team to stand out of the box.
Seismic waves are generated in the earth’s layers due to various natural phenomena like earthquake, volcano, and landslide. These waves create a huge loss of lives and also materialistic destructions. Though various methods are available to identify the origin and intensity of the wave, there is a lack of a said method or algorithm to warn the origin of seismic waves beforehand. Dr. Farid Touati and Dr. Mohamed Al-Hitmi, along with the team did an outstanding job in identifying an early seismic warning system that will serve as a lifeguard to many places prone to seismic wave disasters. Two parameters, vibration and line of sight (LOS) based SHM node, was used to observe early seismic wave and its scatter through the tilt angle. Apparently, the authors added various novel terms like Early Warning Evaluation Function (EWEF), Early Seismic Warning Algorithm (ESWA), Green SHM Seismic Node (GSSN), Assembly Parametrically Optimized SHM Node Placement and Utility Conveyance Duct (UCD) Prototype, thus highlighting their work efficiency and reliability.
The work was carried out using the SHM node, with five bi-axis tiltmeters and five blue-violet laser diodes transmitter/receiver/reflector (LDTRR) assembly. The SHM nodes are generated via computational software Proteus 7ISIS, MATLAB 7 and AutoCAD. Four LDTRR assemblies is placed at the base of building with its four co-planer reflectors orthogonally placed at effective radii corresponding to the wavelengths of P, S, Rayleigh, and Love seismic waves, while the last reflector is placed at the bottom of the building. The obtained data from the assembly was analyzed. The refracted and reflected wave angles of two mediums seismic sand and limestone were also calculated.
The complete work and all geometric calculations were carried out by computer-aided engineering and design (CAE/CAD). Based on various seismic calculations, the proposed system shows accurate results, thus highly recommending the proposed warning system for seismic analysis of infrastructures and seismic centers in near future. It is also said to be the most cost-effective method when installed in any building constructions for observing seismic waves within a range of 5km+ radius.
This study benefits society in greater means, by saving lives and monetary loss. Farid Touati Dr. Mohamed Al-Hitmi, along with the team are highly complimented for their discovery; their work carried outside computer will turn out to be an astounding research. This high social benefit research was made possible by NPRP grant # 8-1781-2-725 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
About Prof. Dr. Farid Touati
Prof. Dr. Farid Touati belongs to Qatar University as a Professor. He has over 20 years’ experience in sensors, embedded systems, and industrial electronics. He has more 220 papers, several books/book chapters, and patents. He is carrying 7 QNRF research grants (worth $8.0 million). He was involved in NSF-EPSCoR/NSF 00-43 Grant, Alabama Research Infrastructure on “Integrated MEMS Photonics for Computer and Communication Systems: develop new integrated MEMS photonic devices and optical interconnection for parallel processing systems”, 2001-2004. He is a member of IEEE, APS, IASTED/USA. He is Editor Member for the Journal of Industrial Electronics and Applications and Associate Editor of IST Transactions Biomedical Sciences and Engineering and IST Transactions of Renewable and Sustainable Energy.
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